<p>Figures show number of patients in each of three risk groups of derivation cohort (top) and validation cohort (bottom) with observed and predicted readmission rates within a margin of error with <i>p</i><sub>value</sub><0.05.</p
AbstractBackgroundHospital readmission risk prediction remains a motivated area of investigation and...
Objective To describe the discrimination and calibration of clinical prediction models, identify cha...
Actual percentage of people with outcomes (and 95% CI) verse predicted percentage (and 95%CI) for al...
Calibration curve relating observed and predicted bleeding rates across deciles of risk in A. Deriva...
<p>Calibration plots between model-predicted and observed (LOESS smoothed) probabilities, for (a) en...
Objective: Calibrated risk models are vital for valid decision support. We define four levels of cal...
OBJECTIVE: Calibrated risk models are vital for valid decision support. We define four levels of cal...
Objective: Calibrated risk models are vital for valid decision support. We define four levels of cal...
<p>There were three steps in model development: 1) two independent cohorts were constructed for retr...
<p>(A) Receiver operating characteristic curves for the GWTG—HF risk score (broken line) and total i...
<p>Model Calibration by Deciles of Predicted Risk in the Development and Validation Cohorts.</p
a<p>(p)FAs: (persistent) Frequent Attenders: frequently attending patients during 1 and 3 years, res...
<p>Density of MAPE of hemoglobin levels between empirical patient data and simulated patient data du...
<p>(A) Calibration plots with calibration slopes for men and (B) for women in the validation cohort....
Objective To describe the discrimination and calibration of clinical prediction models, identify cha...
AbstractBackgroundHospital readmission risk prediction remains a motivated area of investigation and...
Objective To describe the discrimination and calibration of clinical prediction models, identify cha...
Actual percentage of people with outcomes (and 95% CI) verse predicted percentage (and 95%CI) for al...
Calibration curve relating observed and predicted bleeding rates across deciles of risk in A. Deriva...
<p>Calibration plots between model-predicted and observed (LOESS smoothed) probabilities, for (a) en...
Objective: Calibrated risk models are vital for valid decision support. We define four levels of cal...
OBJECTIVE: Calibrated risk models are vital for valid decision support. We define four levels of cal...
Objective: Calibrated risk models are vital for valid decision support. We define four levels of cal...
<p>There were three steps in model development: 1) two independent cohorts were constructed for retr...
<p>(A) Receiver operating characteristic curves for the GWTG—HF risk score (broken line) and total i...
<p>Model Calibration by Deciles of Predicted Risk in the Development and Validation Cohorts.</p
a<p>(p)FAs: (persistent) Frequent Attenders: frequently attending patients during 1 and 3 years, res...
<p>Density of MAPE of hemoglobin levels between empirical patient data and simulated patient data du...
<p>(A) Calibration plots with calibration slopes for men and (B) for women in the validation cohort....
Objective To describe the discrimination and calibration of clinical prediction models, identify cha...
AbstractBackgroundHospital readmission risk prediction remains a motivated area of investigation and...
Objective To describe the discrimination and calibration of clinical prediction models, identify cha...
Actual percentage of people with outcomes (and 95% CI) verse predicted percentage (and 95%CI) for al...
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